Cube is a leading AI-powered universal semantic layer platform designed for data and app development teams. It aims to eliminate inconsistent models and metrics, providing faster and more reliable data solutions across various use cases. Cube enables the unification of data across AI, BI, spreadsheets, and embedded analytics, helping teams build better data products.
Analytics • Databases • Developer Tools • Open Source • Business Intelligence
December 14, 2024
Cube is a leading AI-powered universal semantic layer platform designed for data and app development teams. It aims to eliminate inconsistent models and metrics, providing faster and more reliable data solutions across various use cases. Cube enables the unification of data across AI, BI, spreadsheets, and embedded analytics, helping teams build better data products.
Analytics • Databases • Developer Tools • Open Source • Business Intelligence
• Contribute to Cube Projects and maintain its codebase on GitHub. • Participate in community support in Slack. • Serve as an entry point for the team. • Work with our CTO to drive architectural and product decisions. • Work on fine-tuning Cube’s performance. • Develop and maintain client core libraries to ensure seamless integration with Cube's products. • Develop semantic layer sync integration with various business intelligence tools to facilitate data organization and accessibility. • Contribute to Cube Cloud by working on product’s main features, such as Cube APM, Cube Cloud PaaS infrastructure, Cube Store service.
• Expert in data structures and algorithms. • Solid understanding of how databases work. • Strong coding skills. • Expert in Rust, or any other low-level language. • Experience in building and managing high-load analytical or data infrastructure applications. • Good communication skills. • Fluent English. • Previous startup experience or interest in working in a fast-moving company. • Experience with contributing to or the maintenance of an open-source project would be a plus. • Strong experience in data engineering, building analytics applications, or OLAP. • Experience with Docker and k8s, AWS, GCP. • Experience with C++, Rust, or any other low-level language experience. • Understanding of how V8 works. • Node.js experience would be a plus.
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